Scenario projections of income inequality and poverty
Organizers: Narasimha Rao (IIASA), Julie Rozenberg (World Bank), Franziska Piontek (PIK)
Sub-national income distribution and multidimensional poverty are crucial inputs to many analyses of climate change impacts and the broader Sustainable Development Goals (SDGs). Increasingly, their projections not only account for overall changes in distributions, but include spatial aspects as well, such as urban/rural differences or income levels/distributions at fine spatial scales.
The potential for changes in income distribution and poverty in turn affect the distributional consequences of climate change impacts and policies, both across and within countries. A growing number of global and national models have incorporated capabilities to project inequality, poverty and distributional impacts, though with a wide range of theoretical bases, scales and scopes. Further research is needed to enhance these capabilities, generate scenarios of future distributional impacts, so as to make them useful for applied researchers and policy makers, and for both climate mitigation and adaptation.
This session aims to bring together quantitative scenario projections of inequality, poverty, and distributional impacts of climate change and policies at both global and regional scales. Abstract submissions may be guided by the following questions: What are state-of-the-art examples for distributional impacts research? What conceptual advances are needed to move this field forward at the regional/global level? What are the data requirements and how can they be fulfilled for all world regions? How can we bridge the scales between macro-regions and the household level? How do we evaluate scenarios with respect to multidimensional poverty?